You wish to determine if there linear correlation between the
age of a driver and the number of driver deaths. The following
table represents the age of a driver and the number of driver
deaths per 100,000. Use a significance level of 0.05 and round all
values to 4 decimal places.
Driver Age | Number of Driver Deaths per 100,000 |
---|---|
28 | 22 |
26 | 30 |
56 | 30 |
52 | 23 |
77 | 33 |
36 | 22 |
78 | 22 |
38 | 26 |
77 | 36 |
62 | 30 |
Ho: ρ = 0
Ha: ρ ≠ 0
Find the Linear Correlation Coefficient
r =
Find the p-value
p-value =
Hypothesis:
Ho: ρ = 0
Ha: ρ ≠ 0
Linear Correlation Coefficient:
Driver Age |
Number of Driver Deaths per 100,000 |
|
28 |
22 |
|
26 |
30 |
|
56 |
30 |
|
52 |
23 |
|
77 |
33 |
|
36 |
22 |
|
78 |
22 |
|
38 |
26 |
|
77 |
36 |
|
62 |
30 |
|
Correlation Coefficient |
0.447746073 |
CORREL(Driver age,Number of Driver Deaths per 100,000) |
Test:
t stat = r * SQRT((n-2)/(1-r^2)) = 0.4477*SQRT((10-2)/(1-0.4477^2)) = 1.4161
df = 10-2 = 8, alpha = 0.05
P value = 0.1945
P value > 0.05, Do not reject H0
There is no linear correlation between the age of a driver and the number of driver deaths at a significance level of 0.05
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